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yjernite 's Collections
Text embedding models I use
super-smol to fine-tune
Models for local deployment
Inference-supported production models
Document processing
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super-smol to fine-tune

updated Sep 12
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  • HuggingFaceTB/SmolLM2-135M

    Text Generation • 0.1B • Updated Feb 6 • 638k • 138

  • HuggingFaceTB/SmolLM2-135M-Instruct

    Text Generation • 0.1B • Updated Sep 22 • 156k • 263

  • google/gemma-3-270m

    Text Generation • 0.3B • Updated Aug 14 • 129k • 894

  • google/gemma-3-270m-it

    Text Generation • 0.3B • Updated Aug 14 • 202k • 451

  • Qwen/Qwen3-0.6B

    Text Generation • 0.8B • Updated Jul 26 • 7.2M • • 755

  • google/gemma-3-1b-it

    Text Generation • 1.0B • Updated Apr 4 • 4.66M • 684

  • google/gemma-3-1b-pt

    Text Generation • 1.0B • Updated Mar 21 • 47.2k • 161

  • Qwen/Qwen3-1.7B

    Text Generation • 2B • Updated Jul 26 • 1.28M • • 308

  • facebook/MobileLLM-R1-950M

    Text Generation • 0.9B • Updated Sep 30 • 3.27k • 350

  • facebook/MobileLLM-R1-140M

    Text Generation • 0.1B • Updated Sep 30 • 889 • 33
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